Modelling fuel loads of understorey vegetation and forest floor components in pine stands in NW Spain

In this study, 310 destructively sampled plots were used to develop two equation systems for the three main pine species in NW Spain (P. pinaster; P. radiata and P. sylvestris): one for estimating loads of understorey fuel components by size and condition (live and dead) and another one for forest f...

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Veröffentlicht in:Forest ecosystems 2022, Vol.9 (6), p.100074-789, Article 100074
Hauptverfasser: Vega, José A., Arellano-Pérez, Stéfano, Álvarez-González, Juan Gabriel, Fernández, Cristina, Jiménez, Enrique, Cuiñas, Pedro, Fernández-Alonso, José María, Vega-Nieva, Daniel J., Castedo-Dorado, Fernando, Alonso-Rego, Cecilia, Fontúrbel, Teresa, Ruiz-González, Ana Daría
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Sprache:eng
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Zusammenfassung:In this study, 310 destructively sampled plots were used to develop two equation systems for the three main pine species in NW Spain (P. pinaster; P. radiata and P. sylvestris): one for estimating loads of understorey fuel components by size and condition (live and dead) and another one for forest floor fuels. Additive systems of equations were simultaneously fitted for estimating fuel loads using overstorey, understorey and forest floor variables as regressors. The systems of equations included both the effect of pine species and the effect of understorey compositions dominated by ferns-brambles or by woody species, due to their obvious structural and physiological differences. In general, the goodness-of-fit statistics indicated that the estimates were reasonably robust and accurate for all of the fuel fractions. The best results were obtained for total understorey vegetation, total forest floor and raw humus fuel loads, with more than 76% of the observed variability explained, whereas the poorest results were obtained for coarse fuel loads of understory vegetation with a 53% of observed variability explained. To reduce the overall costs associated with the field inventories necessary for operational use of the models, the additive systems were fitted again using only overstorey variables as potential regressors. Only relationships for fine (
ISSN:2197-5620
2095-6355
2197-5620
DOI:10.1016/j.fecs.2022.100074